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AAAI
2007
13 years 11 months ago
Restart Schedules for Ensembles of Problem Instances
The mean running time of a Las Vegas algorithm can often be dramatically reduced by periodically restarting it with a fresh random seed. The optimal restart schedule depends on th...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
ICPR
2008
IEEE
14 years 3 months ago
Adaptive context recognition based on audio signal
Auditory data provide many contextual cues about the crucial content of environments around. The goal of audio based context recognition is to equip the sensing devices with class...
Zhi Zeng, Xin Li, Xiaohong Ma, Qiang Ji
OOPSLA
2007
Springer
14 years 2 months ago
Using hpm-sampling to drive dynamic compilation
All high-performance production JVMs employ an adaptive strategy for program execution. Methods are first executed unoptimized and then an online profiling mechanism is used to ...
Dries Buytaert, Andy Georges, Michael Hind, Matthe...
EMSOFT
2010
Springer
13 years 6 months ago
Resource adaptations with servers for hard real-time systems
Many real-time applications are designed to work in different operating modes each characterized by different functionality and resource demands. With each mode change, resource d...
Nikolay Stoimenov, Lothar Thiele, Luca Santinelli,...
ICPR
2008
IEEE
14 years 10 months ago
Human tracking based on Soft Decision Feature and online real boosting
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
Hironobu Fujiyoshi, Masato Kawade, Shihong Lao, Ta...